Struct rusoto_sagemaker::CreateAutoMLJobRequest
source · [−]pub struct CreateAutoMLJobRequest {
pub auto_ml_job_config: Option<AutoMLJobConfig>,
pub auto_ml_job_name: String,
pub auto_ml_job_objective: Option<AutoMLJobObjective>,
pub generate_candidate_definitions_only: Option<bool>,
pub input_data_config: Vec<AutoMLChannel>,
pub model_deploy_config: Option<ModelDeployConfig>,
pub output_data_config: AutoMLOutputDataConfig,
pub problem_type: Option<String>,
pub role_arn: String,
pub tags: Option<Vec<Tag>>,
}
Fields
auto_ml_job_config: Option<AutoMLJobConfig>
Contains CompletionCriteria
and SecurityConfig
settings for the AutoML job.
auto_ml_job_name: String
Identifies an Autopilot job. The name must be unique to your account and is case-insensitive.
auto_ml_job_objective: Option<AutoMLJobObjective>
Defines the objective metric used to measure the predictive quality of an AutoML job. You provide an AutoMLJobObjective$MetricName and Autopilot infers whether to minimize or maximize it.
generate_candidate_definitions_only: Option<bool>
Generates possible candidates without training the models. A candidate is a combination of data preprocessors, algorithms, and algorithm parameter settings.
input_data_config: Vec<AutoMLChannel>
An array of channel objects that describes the input data and its location. Each channel is a named input source. Similar to InputDataConfig
supported by . Format(s) supported: CSV. Minimum of 500 rows.
model_deploy_config: Option<ModelDeployConfig>
Specifies how to generate the endpoint name for an automatic one-click Autopilot model deployment.
output_data_config: AutoMLOutputDataConfig
Provides information about encryption and the Amazon S3 output path needed to store artifacts from an AutoML job. Format(s) supported: CSV.
problem_type: Option<String>
Defines the type of supervised learning available for the candidates. Options include: BinaryClassification
, MulticlassClassification
, and Regression
. For more information, see Amazon SageMaker Autopilot problem types and algorithm support.
role_arn: String
The ARN of the role that is used to access the data.
Each tag consists of a key and an optional value. Tag keys must be unique per resource.
Trait Implementations
sourceimpl Clone for CreateAutoMLJobRequest
impl Clone for CreateAutoMLJobRequest
sourcefn clone(&self) -> CreateAutoMLJobRequest
fn clone(&self) -> CreateAutoMLJobRequest
Returns a copy of the value. Read more
1.0.0 · sourcefn clone_from(&mut self, source: &Self)
fn clone_from(&mut self, source: &Self)
Performs copy-assignment from source
. Read more
sourceimpl Debug for CreateAutoMLJobRequest
impl Debug for CreateAutoMLJobRequest
sourceimpl Default for CreateAutoMLJobRequest
impl Default for CreateAutoMLJobRequest
sourcefn default() -> CreateAutoMLJobRequest
fn default() -> CreateAutoMLJobRequest
Returns the “default value” for a type. Read more
sourceimpl PartialEq<CreateAutoMLJobRequest> for CreateAutoMLJobRequest
impl PartialEq<CreateAutoMLJobRequest> for CreateAutoMLJobRequest
sourcefn eq(&self, other: &CreateAutoMLJobRequest) -> bool
fn eq(&self, other: &CreateAutoMLJobRequest) -> bool
This method tests for self
and other
values to be equal, and is used
by ==
. Read more
sourcefn ne(&self, other: &CreateAutoMLJobRequest) -> bool
fn ne(&self, other: &CreateAutoMLJobRequest) -> bool
This method tests for !=
.
sourceimpl Serialize for CreateAutoMLJobRequest
impl Serialize for CreateAutoMLJobRequest
impl StructuralPartialEq for CreateAutoMLJobRequest
Auto Trait Implementations
impl RefUnwindSafe for CreateAutoMLJobRequest
impl Send for CreateAutoMLJobRequest
impl Sync for CreateAutoMLJobRequest
impl Unpin for CreateAutoMLJobRequest
impl UnwindSafe for CreateAutoMLJobRequest
Blanket Implementations
sourceimpl<T> BorrowMut<T> for T where
T: ?Sized,
impl<T> BorrowMut<T> for T where
T: ?Sized,
const: unstable · sourcefn borrow_mut(&mut self) -> &mut T
fn borrow_mut(&mut self) -> &mut T
Mutably borrows from an owned value. Read more
sourceimpl<T> Instrument for T
impl<T> Instrument for T
sourcefn instrument(self, span: Span) -> Instrumented<Self>
fn instrument(self, span: Span) -> Instrumented<Self>
sourcefn in_current_span(self) -> Instrumented<Self>
fn in_current_span(self) -> Instrumented<Self>
sourceimpl<T> ToOwned for T where
T: Clone,
impl<T> ToOwned for T where
T: Clone,
type Owned = T
type Owned = T
The resulting type after obtaining ownership.
sourcefn clone_into(&self, target: &mut T)
fn clone_into(&self, target: &mut T)
toowned_clone_into
)Uses borrowed data to replace owned data, usually by cloning. Read more
sourceimpl<T> WithSubscriber for T
impl<T> WithSubscriber for T
sourcefn with_subscriber<S>(self, subscriber: S) -> WithDispatch<Self> where
S: Into<Dispatch>,
fn with_subscriber<S>(self, subscriber: S) -> WithDispatch<Self> where
S: Into<Dispatch>,
Attaches the provided Subscriber
to this type, returning a
WithDispatch
wrapper. Read more
sourcefn with_current_subscriber(self) -> WithDispatch<Self>
fn with_current_subscriber(self) -> WithDispatch<Self>
Attaches the current default Subscriber
to this type, returning a
WithDispatch
wrapper. Read more